• Title/Summary/Keyword: E-service Quality

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Study on An Admission Control Scheme to Improve QoS of Overload Cluster Web Server (클러스터 웹서버 성능개선을 위한 과부하 방지 QoS 보장 수락 제어 기법 연구)

  • Nahm Eui-seok;Kang E.G.;Chung H.S.;Lee J.H.;Hyun D.C.
    • Journal of the Korea Computer Industry Society
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    • v.6 no.3
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    • pp.391-400
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    • 2005
  • 최근 몇 년 사이 컴퓨터와 초고속 통신망의 대중적인 보급으로 인하여 인터넷 사용 인구가 급격하게 증가하였고 인터넷 사용량 또한 폭발적으로 증가하였다. 이와 같이 막대한 양으로 늘어난 트래픽은 서버에 과도한 양의 부하를 발생시켜 서비스 전반에 걸친 성능 저하를 가져왔다. 따라서 서버에 많은 양의 트래픽이 발생하더라도 정상적인 서비스를 제공할 수 있도록 하는 것이 필요하다. 본 논문에서는 이러한 서버의 트래픽 폭주로 인한 서버 과부하 문제를 해결하기 위해 수락 제어 알고리즘을 이용한다. 수락 제어 기법은 컨텐츠 변환이나 로드 밸런싱과 같이 수동적으로 부하를 덜어주거나 분산시키는 방식이 아닌 트래픽에 제한을 가하여 능동적으로 서버의 부하를 조절하는 방식이다. 클라이언트에 의한 연결 요청이 이루어질 때 서버의 부하 상태를 평가한 후 서버가 수용 가능한 수준이면 클라이언트 새로운 연결 요청을 수락하여 이를 서비스할 수 있도록 한다. <중략> 또한 서비스 요청에 제한적인 정책을 따를 경우 서버의 부하 변화에 빠르게 반응하지만 QoS(Quality of Service)의 향상을 얻을 수 있는 반면 더 많은 서비스 요청을 수용하는 정책을 취할 경우 서버의 부하 변화에 대한 반응이 느리지만 throughput이 증가하는 이득을 얻을 수 있게 된다. QoS와 throughput가 서로 tradeoff 관계에 있다는 것을 알 수 있다. 또한 요구되는 서비스의 성격에 따라 즉 더 높은 수준의 QoS 보장이 중요한 서비스인가 아니면 더 높은 수준의 throughput 보장이 요구되는 서비스인가에 따라 다른 수락 제어 정책을 적용하는 것이 가능하게 된다.

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Contention Window Tuning Scheme for Providing Differentiated QoS in Wireless LANs (무선 랜에서 차별화된 서비스 품질 제공을 위한 경쟁윈도우 설정 방법)

  • Ha, Seongwoo;Kim, Sunmyeng
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.387-389
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    • 2015
  • IEEE 802.11e EDCA(Enhanced Distributed Channel Access)는 4개의 AC(Access Category)를 이용하여 트래픽에 따른 우선순위를 부여하고 QoS(Quality of Service)를 제공하기 위해 표준화되었다. EDCA는 이진 백오프 알고리즘을 갖는 CSMA/CA(Carrier Sense Multiple Access with Collision Avoidance) 방법을 이용한다. EDCA에서 패킷 전송에 실패할 경우 경쟁 윈도우 값은 두 배씩 증가 되고, 성공할 경우에는 최소 경쟁 윈도우 값으로 초기화된다. 따라서 경쟁 윈도우 값이 최적의 값을 유지하지 못해 많은 패킷 충돌을 야기하여 네트워크 성능을 감소시킨다. 이 문제를 해결하기 위해 기존에 제안된 논문에서는 패킷 전송 성공 후 경쟁 윈도우 값을 최소 경쟁 윈도우 값이 아닌 채널 혼잡 정도에 따라 계산된 값으로 설정한다. 그러나 이 방법은 트래픽 종류와 상관없이 같은 방법으로 동작하기 때문에 트래픽 종류에 따른 차별적 QoS를 보장하지 않는다. 또한 계산된 경쟁 윈도우 값은 현재 값에 비해 상대적으로 낮은 값을 갖기 때문에 여전히 높은 충돌율을 갖는다. 본 논문에서는 이 문제를 해결하기 위해 새로운 프로토콜을 제안한다. 제안된 방법에서는 네트워크의 혼잡 정도를 잘 반영하기 위한 새로운 경쟁 윈도우 계산 알고리즘을 제시한다. 또한 제안된 알고리즘은 트래픽 종류에 따른 QoS 보장을 위해 트래픽 종류에 따른 차별화 파라미터를 이용한다.

Robust Secure Transmit Design with Artificial Noise in the Presence of Multiple Eavesdroppers

  • Liu, Xiaochen;Gao, Yuanyuan;Sha, Nan;Zang, Guozhen;Wang, Shijie
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2204-2224
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    • 2021
  • This paper studies secure wireless transmission from a multi-antenna transmitter to a single-antenna intended receiver overheard by multiple eavesdroppers with considering the imperfect channel state information (CSI) of wiretap channel. To enhance security of communication link, the artificial noise (AN) is generated at transmitter. We first design the robust joint optimal beamforming of secret signal and AN to minimize transmit power with constraints of security quality of service (QoS), i.e., minimum allowable signal-to-interference-and-noise ratio (SINR) at receiver and maximum tolerable SINR at eavesdroppers. The formulated design problem is shown to be nonconvex and we transfer it into linear matrix inequalities (LMIs). The semidefinite relaxation (SDR) technique is used and the approximated method is proved to solve the original problem exactly. To verify the robustness and tightness of proposed beamforming, we also provide a method to calculate the worst-case SINR at eavesdroppers for a designed transmit scheme using semidefinite programming (SDP). Additionally, the secrecy rate maximization is explored for fixed total transmit power. To tackle the nonconvexity of original formulation, we develop an iterative approach employing sequential parametric convex approximation (SPCA). The simulation results illustrate that the proposed robust transmit schemes can effectively improve the transmit performance.

A Review of AI-based Automobile Accident Prevention Systems (인공지능 기반의 자동차사고 감지 시스템 적용 사례 분석)

  • Choi, Jae Gyeong;Kong, Chan Woo;Lim, Sunghoon
    • Journal of the Korea Safety Management & Science
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    • v.22 no.1
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    • pp.9-14
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    • 2020
  • Artificial intelligence (AI) has been applied to most industries by enhancing automation and contributing greatly to efficient processes and high-quality production. This research analyzes the applications of AI-based automobile accident prevention systems. It deals with AI-based collision prevention systems that learn information from various sensors attached to cars and AI-based accident detection systems that automatically report accidents to the control center in the event of a collision. Based on the literature review, technological and institutional changes are taking place at the national levels, which recognize the effectiveness of the systems. In addition, start-ups at home and abroad as well as major car manufacturers are in the process of commercializing auto parts equipped with AI-based collision prevention technology.

Effects of Information Technology Competence on Business Performance: Empirical Evidence from Omnichannel Retailers in Vietnam

  • NGUYEN, Anh Thi Dy;HOANG, Thao Thi Phuong
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.6
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    • pp.303-312
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    • 2022
  • Nowadays, omnichannel is a new kind of e-commerce channel. Many retailers invest in this channel to maximize customers' benefits as well as increase competitive advantage and business performance. To operate this channel effectively, the role of IT competence is very important. With the flexibility and integration of IT competence in omnichannel, retailers can optimize service quality and bring customer benefits that are outstanding in comparison with the traditional channel. Because of this significance, this research was carried out to evaluate the effects of IT competence on the business performance of retailers in Vietnam's omnichannel environment through the mediating role of customer value creation and competitive advantage. A quantitative research method is used through a survey with 200 managers working in retail companies operating omnichannel in Vietnam. After collecting data, PLS-SEM software is used to analyze the relationship among these above factors in omnichannel. The results prove that there are positive effects of IT competence on other elements in the research model. All direct and indirect effects are valuable when bootstrapping. Based on the results, some managerial implications are given to managers of retail companies using omnichannel to improve customer values and increase competitive advantage and business performance in the Vietnam context.

Positive Factors for Return to Work After Accidents: Health Awareness, Consultation with Doctors, and Personal Characteristics of Workers

  • Kang, Dongsuk
    • Safety and Health at Work
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    • v.13 no.1
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    • pp.32-39
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    • 2022
  • Background: Industrial accidents can determine the overall level and quality of the work environment in industries and companies that contribute to national economic development. Korea has transformed the country from an international aid recipient to a donor country, but it has ranked first among the Organisation for Economic Co-operation and Development member countries in the number of fatal industrial accidents. Little has been known about the policy effects in terms of the workers' insurance for their industrial accidents and rehabilitation. This study raises two research questions about the influence of workers' personal characteristics and vocational rehabilitation services on their return to workplaces. Methods: The study implements weighted logistic regression analysis using propensity score matching. This research utilizes the relevant dataset (3,924 persons) of Korea's industrial accident and insurance. Results: The findings show that the level of workers' awareness of health recovery and their counseling for rehabilitation by physicians had positive effects on their return to work. Environmental factors such as workers' job stability at the time of industrial accidents and the temporal effects of industrial accidents (e.g., the level of disability, their age) had negative impacts on their return to work. Conclusions: These findings have policy implications that the concentration of rehabilitation services for patients who have been mildly affected by industrial accidents would be effective in the short and medium term. The findings also highlight the necessity of ongoing policies about workers' vocational recovery with concrete evidence about policy impacts.

Metabolomics reveals potential plateau adaptability by regulating inflammatory response and oxidative stress-related metabolism and energy metabolism pathways in yak

  • Huang, Meizhou;Zhang, Xin;Yan, Wenjun;Liu, Jingjing;Wang, Hui
    • Journal of Animal Science and Technology
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    • v.64 no.1
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    • pp.97-109
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    • 2022
  • Species are facing strong selection pressures to adapt to inhospitable high-altitude environments. Yaks are a valuable species and an iconic symbol of the Qinghai-Tibet Plateau. Extensive studies of high-altitude adaptation have been conducted, but few have focused on metabolism. In the present study, we determined the differences in the serum metabolomics between yaks and the closely related species of low-altitude yellow cattle and dairy cows. We generated high-quality metabolite profiling data for 36 samples derived from the three species, and a clear separation trend was obtained between yaks and the other animals from principal component analysis. In addition, we identified a total of 63 differentially expressed metabolites among the three species. Functional analysis revealed that differentially expressed metabolites were related to the innate immune activation, oxidative stress-related metabolism, and energy metabolism in yaks, which indicates the important roles of metabolites in high-altitude adaptation in yaks. The results provide new insights into the mechanism of adaptation or acclimatization to high-altitude environments in yaks and hypoxia-related diseases in humans.

Effective Demand Lifting through Pre-Launch Movie Marketing Activities

  • Song, Tae Ho;Yoo, Shijin;Lee, Janghyuk
    • Asia Marketing Journal
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    • v.18 no.3
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    • pp.1-18
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    • 2016
  • The purpose of this paper is to examine empirically how to balance advertising expenditure before and after launch with regard to the direction of word of mouth in the motion picture industry. The vector auto-regression model is applied to assess the dynamic impact of advertising and word of mouth on sales. Empirical data, including advertising, word of mouth, and sales (the number of entries) of 83 movies are used for analysis. The research results show that for a movie having more positive word of mouth in the pre- and post-launch periods, it is worthwhile to spend the advertising budget in the pre-launch period only and to spare it in post-launch period. However, it is worthwhile to spare the advertising budget in the pre-launch period for movies having less positive word of mouth before and after launch, and to concentrate spending in post-launch period instead. Mangers who handle products and services facing shortened lifecycles, such as games, eBooks, and digital music contents, need to check the quality of pre-launch word of mouth for their advertising budget decisions in the pre- and post-launch periods and spend more of the advertising budget in the post- (pre-) launch period if pre-launch word of mouth is negative (positive). For products and services with a shortened lifecycle, it is recommended to spend more of the advertising budget in the post- (pre-) launch period if pre-launch word of mouth is negative (positive).

Resource scheduling scheme for 5G mmWave CP-OFDM based wireless networks with delay and power allocation optimizations

  • Marcus Vinicius G. Ferreira;Flavio H. T. Vieira;Alisson A. Cardoso
    • ETRI Journal
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    • v.45 no.1
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    • pp.45-59
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    • 2023
  • In this paper, to optimize the average delay and power allocation (PA) for system users, we propose a resource scheduling scheme for wireless networks based on Cyclic Prefix Orthogonal Frequency Division Multiplexing (CP-OFDM) according to the first fifth-generation standards. For delay minimization, we solve a throughput maximization problem that considers CPOFDM systems with carrier aggregation (CA). Regarding PA, we consider an approach that involves maximizing goodput using an effective signal-to-noise ratio. An algorithm for jointly solving delay minimization through computation of required user rates and optimizing the power allocated to users is proposed to compose the resource allocation approach. In wireless network simulations, we consider a scenario with the following capabilities: CA, 256-Quadrature Amplitude Modulation, millimeter waves above 6 GHz, and a radio frame structure with 120 KHz spacing between the subcarriers. The performance of the proposed resource allocation algorithm is evaluated and compared with those of other algorithms from the literature using computational simulations in terms of various Quality of Service parameters, such as the throughput, delay, fairness index, and loss rate.

Decision-making Model of Supply Chain Inventory Management System (공급망 재고관리시스템의 의사결정모형)

  • Chen, Jinhui;Nam, Soo-tae;Jin, Chan-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.157-158
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    • 2021
  • Big data in the supply chain mainly comes from four aspects. One is the relevant data inevitably generated in the process of product value transfer of enterprises in the supply chain, such as production equipment quality data, planned procurement data, product data, etc; On the other hand, it is derived from the ERP data of various companies in the supply chain; The third is e-commerce data from the customer, and the last is data from external or manually entered data. A third-party data service center analysis and mining the data to predict and control the inventory in the process of supply chain operation. It brings innovation and change of management technology and way of thinking to the whole supply chain in many aspects, and finally achieves the goal of coordinated inventory and zero inventory of the whole supply chain.

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